Learning from Machine Learning
Seth Levine
A machine learning podcast that explores more than just algorithms and data: Life lessons from the experts. Welcome to "Learning from Machine Learning," a podcast about the insights gained from a career in the field of Machine Learning and Data Science. In each episode, industry experts, entrepreneurs and practitioners will share their experiences and advice on what it takes to succeed in this rapidly-evolving field.But this podcast is not just about the technical aspects of ML. It will also delve into the ways machine learning is changing the world around us. From the implications of artificial intelligence to the ways machine learning is being applied in various sectors, a wide range of topics will be covered that are relevant to anyone interested in the intersection of technology and society.All interviews available on YouTube: Learning from Machine Learning Substack: Mindful Machines
Episodes
Mentioned books
8 snips
Feb 24, 2023 • 1h 2min
Nils Reimers: Sentence Transformers, Search, Future of NLP | Learning from Machine Learning #3
This episode welcomes Nils Reimers, Director of Machine Learning at Cohere and former research at Hugging Face, to discuss Natural Language Processing, Sentence Transformers and the future of Machine Learning. Nils is best known as the creator of Sentence Transformers, a powerful framework for generating high-quality sentence embeddings that has become increasingly popular in the ML community with over 9K stars on Github. With Sentence Transformers, Nils has enabled researchers and developers (including me) to train state-of-the-art models for a wide range of NLP tasks, including text classification, semantic similarity, and question-answering. His contributions have been recognized by numerous awards and publications in top-tier conferences and journals.Resources to learn more about Nils Reimers and his work:https://www.nils-reimers.de/https://www.sbert.net/https://scholar.google.com/citations?...https://cohere.ai/Resources to learn more about Learning from Machine Learning:https://www.linkedin.com/company/learning-from-machine-learninghttps://www.linkedin.com/in/sethplevine/https://medium.com/@levine.seth.pYoutube Clips02:29 What attracted you to Machine Learning?06:32 What is sentence transformers?28:02 Benchmarks and P-Hacking33:53 What’s an important question that remains unanswered in Machine Learning?38:41 How do you view the gap between the hype and the reality in Machine Learning?50:45 What advice would you give to someone just starting out?52:30 What advice would you give yourself when you were just starting out in your career?57:22 What has a career in ML taught you about life?
Jan 31, 2023 • 1h 9min
Vincent Warmerdam: Calmcode, Explosion, Data Science | Learning From Machine Learning #2
Vincent Warmerdam, creator of calmcode and machine learning engineer at SpaCy, discusses his career path and the role of luck and privilege. They talk about different job titles and the creation of Com Code, a free platform for data science education. Vincent's open-source projects and the importance of Python packages are highlighted. They discuss reframing problems, combining ML models with heuristics, and finding inspiration in unexpected places.
Jan 9, 2023 • 1h 8min
Maarten Grootendorst: BERTopic, Data Science, Psychology | Learning from Machine Learning #1
Maarten Grootendorst, data scientist and expert in BERTopic, discusses his transition from psychology to machine learning, the appeal of machine learning and its applications, creating a strong foundation with BERTopic for topic modeling and trend analysis, trade-offs and intuitive design in API design, the future direction of BERTopic including integrating images and sound, differentiating between large language models and AGI, and finding inspiration in the field by combining different strengths.
